mimir

Scalable multi-tenant long-term storage for Prometheus metrics is achieved by deploying a distributed architecture with components like Distributor and Ingester on Kubernetes, configuring object storage backends, and enabling tenant isolation via the X-Scope-OrgID header.

Configuring object storage backends for Prometheus metrics retention involves integrating S3, GCS, or Azure cloud storage with your distributed metrics store, enabling efficient long-term data retention and query performance across many isolated tenants.

Yes, per-tenant overrides and runtime configuration can be applied to Prometheus storage by configuring the distributed architecture, allowing isolated multi-tenant control over metric ingestion and query performance without restarting the system.

Multi-tenant Prometheus isolation with remote_write works by routing metric data through a gateway that validates tenant identity using the X-Scope-OrgID header, ensuring strict data separation across the Distributor and Store-Gateway components.

Authentication troubleshooting fails during Kubernetes Helm deployment of Prometheus storage when the X-Scope-OrgID header is misconfigured or the gateway endpoints are not properly exposed, preventing successful tenant validation and metric ingestion.